def test_FFNN_200_enhancers(): models = [] kwargs = [] epigenomes, labels = retrieving_data('GM12878') set_shape(epigenomes, 'enhancers') model_ffnn, kwargs_ffnn = ffnn(200, 1024) models.append(model_ffnn) kwargs.append(kwargs_ffnn) train(epigenomes, labels, models, kwargs, 'enhancers', 'GM12878')
def test_perceptron_200_promoters(): models = [] kwargs = [] epigenomes, labels = retrieving_data('GM12878') set_shape(epigenomes, 'promoters') model_perc, kwargs_perc = perceptron(200, 1024) models.append(model_perc) kwargs.append(kwargs_perc) train(epigenomes, labels, models, kwargs, 'promoters', 'GM12878')